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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Responsibilities:Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Advanced technical knowledge of cloud technology (AWS, GCP, Azure), security controls, database systems, network systems, auditing and compliance software and tools, and IT infrastructure.
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In-depth knowledge of Google Cloud Platform (GCP) and its core data services (GCS, BigQuery, Cloud Storage, Dataflow, etc.) Manage and optimize data storage solutions on GCP, including Big Query, Cloud Storage, and Cloud SQL, while implementing data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center.
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Strong expertise in Terraform for infrastructure as code (IaC) and Docker/Kubernetes for containerization and orchestration. We seek a highly experienced Delivery Lead with over 15 + years of expertise in leading Java full-stack development and cloud migration projects, particularly on the Google Cloud Platform (GCP.
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Experienced in implementing standardized pipelines with automated testing, Airflow scheduling, Azure DevOps for CI/CD, Terraform for infrastructure as code, and Splunk for monitoring. Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL.
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Our tech stack spans several languages and frameworks, including but not limited to: Python, Go, Rust, React, running in Docker/Kubernetes on GCP. Relevant areas of expertise might include workflow engineering, tool integration, high performance cloud computing, systems engineering, and machine learning, but specific knowledge of any of these areas is less critical than versatility and a willingness to learn and work anywhere in the tech stack.
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5-7 years of experience with AWS, Azure or GCP Cloud and traditional infrastructure (compute, storage, networking, database, middleware) and ITSM operations frameworks (ITIL, MOF, COBIT, etc) required to manage provisioning, capacity, performance and other key operations in hybrid infrastructure.
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Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure Devops. Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.) 8+ years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud.
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O Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure Devops. Pyspark, SQL, CI/CD Pipelines for Databricks, ETL Processes, Project Management and Delta Lake Storage. Acunor is looking for Databricks Architect for one of its premier clients.
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Infrastructure & Cloud Security best practices including DevSecOps. Cloud Computing: Understanding and knowledge (of 1 or more): AWS, Azure or GCP. Hands on experience with AWS, Azure or GCP desired.
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Knowledge of Infrastructure fundamentals. Other IAM Platforms – Okta, SailPoint, Ping, a plus. Logging & Monitoring: Dynatrace and Splunk, Change Management, Problem management, industry standard tooling.
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Demonstrated experience in incident response, threat hunting and infrastructure management in a cloud environment (e.g., AWS, AZURE, GCP). Demonstrated experience leveraging Infrastructure as code tools such as Terraform or Ansible.
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The engineer will be responsible for all data backup/recovery support for cloud service providers (Amazon Web Services - AWS, Microsoft Azure, and Google Cloud Platform – GCP, IBM Cloud), planning and upgrading the systems on a regular basis, checking the health of all the systems, and making necessary changes as required.
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Virtualization (VMware, AWS, Azure, and GCP) · Minimum 15 years’ experience in IT, networking infrastructure, applications, cloud, and related technologies. The Enterprise Architect should have a strong understanding of the industry and demonstrate technical skills in networking, infrastructure, applications, cloud, and related technologies.
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The Deputy Chief, Standard and Architecture, Cloud & Infrastructure is an IT executive management position responsible for a portfolio of highly technical IT functions central to the successful provision of IT services across the MTA. This position reports directly to the Chief IT Architect.
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